Open santokalayil opened 3 weeks ago
Description
found in database using RAG
. Those which has very less probability were given to domain experts to manually look intoLLMS
from sentence_transformers import SentenceTransformer
em = SentenceTranformer("paraphrase-MiniLM-L6-v2")
embedding = em.encode("my sentence")
from fastembed import TextEmbedding
em = TextEmbedding()
embeddings: List = list(em.embed(["doc1.....", "doc2....."]))
RAG vs CRAG (Corrective) vs RAFT (RAG + finetuning) + PEFT (parameter efficient fine tuning), LORA, QLORA
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